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A deep reinforcement learning approach to multistage stochastic network flows for distribution problems
(Instituto Tecnológico de Costa Rica, 2022-05-27)Distribution networks are a crucial part of supply chains that often entail highly complex optimization problems. An NP-hard example is minimizing the longterm transportation cost of multiple kinds of goods over a time ... -
A fault-tolerance protocol for parallel applications with communication imbalance
(IEEE, 2015)The predicted failure rates of future supercomputers loom the groundbreaking research large machines are expected to foster. Therefore, resilient extreme-scale applications are an absolute necessity to effectively use ... -
A Magnus Wind Turbine Power Model Based on Direct Solutions Using the Blade Element Momentum Theory and Symbolic Regression
(IEEE, 2017-01)A model of the power coefficient of a mid-scale Magnus wind turbine using numerical solutions of the Blade Element Momentum Theory and symbolic regression is presented. A direct method is proposed for solving the nonlinear ... -
A methodology for automated design and implementation of complex analog and digital CMOS integrated circuits applying a genetic algorithm and a CAD tool for multiobjective optimization.
(Instituto Tecnológico de Costa Rica, 2014)This dissertation proposes an automated methodology to design and optimize electronic integrated circuits, something that could be called simulation-driven optimization. The concept of Pareto optimality or the so called ... -
A methodology for the synthesis to logical netlist of an ASIC
(Instituto Tecnológico de Costa Rica, 2017)The advances in technology for manufacturing ASICs allow more features to be added. As result, and depending on the architecture of the ASIC, more functional blocks do exist to support such additional features. This imply ... -
A multi-view environment to visualize differences between alternative versions of biological taxonomies
(Instituto Tecnológico de Costa Rica, 2022)The classification of living organisms into biological taxonomies is fundamental to understand our biodiversity and to support environmental conservation efforts. The biological taxonomy system for the classification of ...